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Databricks vs Jedox comparison

 

Comparison Buyer's Guide

Executive Summary

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Categories and Ranking

Databricks
Average Rating
8.2
Reviews Sentiment
7.0
Number of Reviews
88
Ranking in other categories
Cloud Data Warehouse (7th), Data Science Platforms (1st), Streaming Analytics (1st)
Jedox
Average Rating
8.0
Reviews Sentiment
6.7
Number of Reviews
13
Ranking in other categories
Business Performance Management (5th)
 

Mindshare comparison

While both are Business Intelligence solutions, they serve different purposes. Databricks is designed for Cloud Data Warehouse and holds a mindshare of 8.4%, up 3.2% compared to last year.
Jedox, on the other hand, focuses on Business Performance Management, holds 5.4% mindshare, up 4.1% since last year.
Cloud Data Warehouse
Business Performance Management
 

Featured Reviews

ShubhamSharma7 - PeerSpot reviewer
Capability to integrate diverse coding languages in a single notebook greatly enhances workflow
Databricks offers various courses that I can use, whether it's PySpark, Scala, or R. I can leverage all these courses in a single notebook, which is beneficial for clients as they can access various tools in one place whenever needed. This is quite significant. I usually work with PySpark based on client requirements. After coding, I feed the Databricks notebooks into the ADF pipeline for updates. Databricks' capability to process data in parallel enhances data processing speed. Furthermore, I can connect our Databricks notebook directly with Power BI and other visualization tools like Qlik. Once we develop code, it allows us to transform raw data into visualizations for clients using analysis diagrams, which is very helpful.
Riyaz Halani - PeerSpot reviewer
Powerful BI tool for analyzing financial performance and stable performance
I would rate the scalability of Jedox a seven out of ten. There is room for improvement in the scalability. It is a very massive tool. It's not easy to just build everything yourself. So that's where the main improvements lie—making it easy for people to not depend on just technical finance teams. There are almost 50 to 60 users using Jedox in our organization.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"The built-in optimization recommendations halved the speed of queries and allowed us to reach decision points and deliver insights very quickly."
"The solution is very easy to use."
"Easy to use and requires minimal coding and customizations."
"The setup was straightforward."
"Databricks gives you the flexibility of using several programming languages independently or in combination to build models."
"Databricks is a robust solution for big data processing, offering flexibility and powerful features."
"I work in the data science field and I found Databricks to be very useful."
"The solution is easy to use and has a quick start-up time due to being on the cloud."
"The main strength of Jedox lies in mastering the navigation, especially the Excel add-in."
"The EPM is the most valuable feature."
"We use the tool for performance management and planning."
"The ETL itself was pretty useful and it's integrated in the tenant itself. So the Olap service technology was impressive to me. In order to extract that and load it in the tube in the same tenant or the same tool that was something magnificent because I actually missed this in SEB. SEB requires another tool, and you have to integrate all the tools together. But for Jedox, it was in the one tool."
"The data entry point is most valuable. The way we can customize our report or do data entry is very good."
"The system is quite flexible. Based on our requirements, we create different cubes that can help us to do complete planning."
"We can configure and have complete freedom while creating solutions."
"The ETL function simplifies many tasks."
 

Cons

"The integration features could be more interesting, more involved."
"Databricks' performance when serving the data to an analytics tool isn't as good as Snowflake's."
"The tool should improve its integration with other products."
"The product needs samples and templates to help invite users to see results and understand what the product can do."
"The pricing of Databricks could be cheaper."
"The integration and query capabilities can be improved."
"Generative AI is catching up in areas like data governance and enterprise flavor. Hence, these are places where Databricks has to be faster."
"We'd like a more visual dashboard for analysis It needs better UI."
"The solution needs to improve its support. The visualization in Microsoft BI is more modern and comfortable than Jedox's. I would expect something similar with the solution."
"The solution should enable a modern look and feel in the front end."
"Jedox should improve the design and server issues."
"There is not much training for Jedox."
"Visualization is something they need to improve. We have already told them about this, and they should be working on it."
"Online pixel-perfect reporting is an aspect that has room for improvement."
"From a development perspective, there's room for improvement in the area called the designer, where you actually build your reports to make it easier to manage the process."
"The tool has changed its pricing and it's now too expensive for small and medium organizations. I miss the open-source version which was free and we could do a lot of things with it."
 

Pricing and Cost Advice

"We implement this solution on behalf of our customers who have their own Azure subscription and they pay for Databricks themselves. The pricing is more expensive if you have large volumes of data."
"Databricks' cost could be improved."
"The cost is around $600,000 for 50 users."
"Databricks is a very expensive solution. Pricing is an area that could definitely be improved. They could provide a lower end compute and probably reduce the price."
"The solution requires a subscription."
"Licensing on site I would counsel against, as on-site hardware issues tend to really delay and slow down delivery."
"I rate the price of Databricks as eight out of ten."
"The solution uses a pay-per-use model with an annual subscription fee or package. Typically this solution is used on a cloud platform, such as Azure or AWS, but more people are choosing Azure because the price is more reasonable."
"Jedox was a bit cheaper compared to Calumo."
"If you are using SAP, then you will have to take an SAP Connector license. The license across the tool is paying for the people who are using it as an admin or as a normal user. They can work out those costs in a manner that can help. This can also be a point of improvement where they can work out the costing, and the developers have a specific licensing cost. The normal users, who are going to do probably data entry or just going to view the dashboard, can have a separate license cost."
"The solution's pricing is specific to your requirements."
"The product’s pricing will not be suitable for setting up a small solution."
"Excellent value for money."
"We paid a one-time fee, which included product purchase, licensing, and first-time implementation. We are paying for the maintenance regularly."
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Top Industries

By visitors reading reviews
Financial Services Firm
17%
Computer Software Company
11%
Manufacturing Company
9%
Healthcare Company
6%
Computer Software Company
18%
Retailer
13%
Financial Services Firm
9%
Manufacturing Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

Which do you prefer - Databricks or Azure Machine Learning Studio?
Databricks gives you the option of working with several different languages, such as SQL, R, Scala, Apache Spark, or Python. It offers many different cluster choices and excellent integration with ...
How would you compare Databricks vs Amazon SageMaker?
We researched AWS SageMaker, but in the end, we chose Databricks. Databricks is a Unified Analytics Platform designed to accelerate innovation projects. It is based on Spark so it is very fast. It...
Which would you choose - Databricks or Azure Stream Analytics?
Databricks is an easy-to-set-up and versatile tool for data management, analysis, and business analytics. For analytics teams that have to interpret data to further the business goals of their orga...
What do you like most about Jedox?
The ease of reporting is one of Jedox's most valuable features.
What is your experience regarding pricing and costs for Jedox?
The solution's pricing is specific to your requirements.
What needs improvement with Jedox?
There is not much training for Jedox. There was no training available in the beginning at all. I had to reach out to them so they would give us something. I think they're getting better, though. Th...
 

Comparisons

 

Also Known As

Databricks Unified Analytics, Databricks Unified Analytics Platform, Redash
Jedox EPM
 

Overview

 

Sample Customers

Elsevier, MyFitnessPal, Sharethrough, Automatic Labs, Celtra, Radius Intelligence, Yesware
BP, Fiat, Carrefour, Continental, Allianz, Bacardi, McDonald’s, Netafim, Swiss Post, Telstra, Suzuki, Vodafone, University of Western Australia, Unilever
Find out what your peers are saying about Snowflake Computing, Microsoft, Google and others in Cloud Data Warehouse. Updated: March 2025.
844,944 professionals have used our research since 2012.